c
com.microsoft.azure.synapse.ml.recommendation
RankingTrainValidationSplitModel
Companion object RankingTrainValidationSplitModel
class RankingTrainValidationSplitModel extends Model[RankingTrainValidationSplitModel] with Wrappable with ComplexParamsWritable with SynapseMLLogging
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lazy val
classNameHelper: String
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def
clear(param: Param[_]): RankingTrainValidationSplitModel.this.type
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companionModelClassName: String
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def
copy(extra: ParamMap): RankingTrainValidationSplitModel
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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lazy val
copyrightLines: String
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def
defaultCopy[T <: Params](extra: ParamMap): T
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dotnetAdditionalMethods: String
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dotnetClass(): String
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dotnetClassName: String
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dotnetClassNameString: String
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dotnetClassWrapperName: String
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dotnetCopyrightLines: String
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dotnetNamespace: String
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dotnetObjectBaseClass: String
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dotnetParamGetter(p: Param[_]): String
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dotnetParamSetter(p: Param[_]): String
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extractParamMap(): ParamMap
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extractParamMap(extra: ParamMap): ParamMap
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get[T](param: Param[T]): Option[T]
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getDefault[T](param: Param[T]): Option[T]
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getOrDefault[T](param: Param[T]): T
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getParam(paramName: String): Param[Any]
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def
getParamInfo(p: Param[_]): ParamInfo[_]
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def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
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- def getValidationMetrics: Seq[_]
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final
def
hasDefault[T](param: Param[T]): Boolean
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hasParam(paramName: String): Boolean
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hasParent: Boolean
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hashCode(): Int
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initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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initializeLogIfNecessary(isInterpreter: Boolean): Unit
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log: Logger
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logBase(info: Map[String, String], featureName: Option[String]): Unit
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logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
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logClass(featureName: String): Unit
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logDebug(msg: ⇒ String, throwable: Throwable): Unit
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logDebug(msg: ⇒ String): Unit
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logError(msg: ⇒ String, throwable: Throwable): Unit
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logError(msg: ⇒ String): Unit
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logErrorBase(methodName: String, e: Exception): Unit
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logFit[T](f: ⇒ T, columns: Int): T
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logName: String
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notifyAll(): Unit
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lazy val
params: Array[Param[_]]
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var
parent: Estimator[RankingTrainValidationSplitModel]
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def
pyAdditionalMethods: String
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lazy val
pyClassDoc: String
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pyClassName: String
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def
pyExtraEstimatorImports: String
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pyExtraEstimatorMethods: String
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lazy val
pyInheritedClasses: Seq[String]
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def
pyInitFunc(): String
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lazy val
pyInternalWrapper: Boolean
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- RankingTrainValidationSplitModel → PythonWrappable
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lazy val
pyObjectBaseClass: String
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def
pyParamArg[T](p: Param[T]): String
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def
pyParamDefault[T](p: Param[T]): Option[String]
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def
pyParamGetter(p: Param[_]): String
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def
pyParamSetter(p: Param[_]): String
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def
pyParamsArgs: String
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def
pyParamsDefaults: String
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lazy val
pyParamsDefinitions: String
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def
pyParamsGetters: String
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pyParamsSetters: String
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pythonClass(): String
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rClass(): String
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def
rDocString: String
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def
rExtraBodyLines: String
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def
rExtraInitLines: String
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lazy val
rFuncName: String
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lazy val
rInternalWrapper: Boolean
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def
rParamArg[T](p: Param[T]): String
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def
rParamsArgs: String
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def
rSetterLines: String
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- def recommendForAllItems(numUsers: Int): DataFrame
- def recommendForAllUsers(numItems: Int): DataFrame
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def
save(path: String): Unit
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- @Since( "1.6.0" ) @throws( ... )
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final
def
set(paramPair: ParamPair[_]): RankingTrainValidationSplitModel.this.type
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- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): RankingTrainValidationSplitModel.this.type
- Attributes
- protected
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final
def
set[T](param: Param[T], value: T): RankingTrainValidationSplitModel.this.type
- Definition Classes
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- def setBestModel(value: Model[_]): RankingTrainValidationSplitModel.this.type
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final
def
setDefault(paramPairs: ParamPair[_]*): RankingTrainValidationSplitModel.this.type
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- protected
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final
def
setDefault[T](param: Param[T], value: T): RankingTrainValidationSplitModel.this.type
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- protected[org.apache.spark.ml]
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- Params
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def
setParent(parent: Estimator[RankingTrainValidationSplitModel]): RankingTrainValidationSplitModel
- Definition Classes
- Model
- def setValidationMetrics(value: Seq[Double]): RankingTrainValidationSplitModel.this.type
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
thisStage: Params
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- protected
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def
toString(): String
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def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- RankingTrainValidationSplitModel → Transformer
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def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
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def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
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def
transformSchema(schema: StructType): StructType
- Definition Classes
- RankingTrainValidationSplitModel → PipelineStage
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def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
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val
uid: String
- Definition Classes
- RankingTrainValidationSplitModel → SynapseMLLogging → Identifiable
- val validationMetrics: TypedDoubleArrayParam
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable